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ICCV
2007
IEEE
14 years 9 months ago
Classification of Weakly-Labeled Data with Partial Equivalence Relations
In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...
Sanjiv Kumar, Henry A. Rowley
ECCV
2006
Springer
14 years 9 months ago
Tracking and Labelling of Interacting Multiple Targets
Abstract. Successful multi-target tracking requires solving two problems - localize the targets and label their identity. An isolated target's identity can be unambiguously pr...
Josephine Sullivan, Stefan Carlsson
MLMI
2007
Springer
14 years 1 months ago
Automatic Labeling Inconsistencies Detection and Correction for Sentence Unit Segmentation in Conversational Speech
In conversational speech, irregularities in the speech such as overlaps and disruptions make it difficult to decide what is a sentence. Thus, despite very precise guidelines on how...
Sébastien Cuendet, Dilek Z. Hakkani-Tü...
ACL
2010
13 years 5 months ago
Starting from Scratch in Semantic Role Labeling
A fundamental step in sentence comprehension involves assigning semantic roles to sentence constituents. To accomplish this, the listener must parse the sentence, find constituent...
Michael Connor, Yael Gertner, Cynthia Fisher, Dan ...
ICTAI
2008
IEEE
14 years 2 months ago
Veritas: Combining Expert Opinions without Labeled Data
We consider a variation of the problem of combining expert opinions for the situation in which there is no ground truth to use for training. Even though we don’t have labeled da...
Sharath R. Cholleti, Sally A. Goldman, Avrim Blum,...